+PYTHON · AI AGENTS · BACKEND

KonstantinDolgopolov.

AI & Backend Engineer

I design and deliver production AI systems and Python backends.

Multi-agent systems, RAG and agent infrastructure. From architecture and integrations to deployment and maintenance.

  • Building software since 2021
  • 7 multi-agent systems in production
MoscowCurrently — AI Engineer at ivi (new tab)
↗design. build.
deploy.
Experience and expertise

01 / ABOUT

AI engineering grounded in backend development.

I’ve been building Python services since 2021: APIs, data processing systems and external integrations. At Genotek, I developed and deployed seven multi-agent systems. At ivi, I introduce AI tools and develop the infrastructure that supports them.

I take projects from requirements and architecture through to deployment and maintenance. I document technical decisions, review code and mentor developers.

Multi-agent systems and RAG

I design agent interactions, data retrieval and LLM integrations for products, with call tracing and execution control.

LangGraph / LangChain / RAG / Langfuse

Backend and integrations

I build APIs, data models and background jobs. I optimise queries and caching, and implement error handling for external integrations.

Python / FastAPI / Django / PostgreSQL

Harness engineering

I build agent execution infrastructure: tools, context management, instructions and task orchestration.

Tools / Context / Instructions / Orchestration

Architecture and operations

I design services and their interactions, set up builds, deployments and CI/CD, and document architectural decisions.

Docker / CI/CD / Redis / System Design

02 / SELECTED WORK

AI systems, integrations and data processing.

Selected commercial and research projects: the problems, technical solutions and my contribution.

GenotekAI / Backend

AI-powered medical data processing

An AI assistant and medical report generation services using lab results, genetic risks and electronic health records.

My contribution

Designed agent graphs and APIs; built the RAG pipeline and FHIR integrations.

  • LangGraph
  • FastAPI
  • FHIR
  • RAG
More about my role
  • Designed agent graphs and backend APIs, integrating medical data using the FHIR standard.
  • Built RAG pipelines and services for processing lab results and DNA test data.
  • At Genotek, developed and shipped 7 multi-agent systems built with LangGraph and Langflow.
GenotekAI / Backend

Genealogical research system

A multi-agent system for finding and analysing genealogical information in archives and unstructured sources.

My contribution

Designed agent interactions, built the backend and mentored two students.

  • LangGraph
  • LangChain
  • ChromaDB
More about my role
  • Designed agent interactions and roles, and built a parser for historical data.
  • Developed the FastAPI application and SQLAlchemy data model.
  • Tuned RAG retrieval, prompts and LLM tracing with Langfuse.
  • Mentored two students working on the project at Genotek.
Synapse GlobalBackend

YouTube → VK subscription migration

A service for transferring user subscriptions between platforms. An asynchronous pipeline for data collection, processing and migration, with queues and retries.

My contribution

Designed the microservice architecture, built and optimised the backend, and mentored a junior developer.

  • Django
  • Celery
  • Redis
  • PostgreSQL
More about my role
  • Designed the microservice architecture, developed the Django backend and documented interactions with UML/BPMN.
  • Implemented data processing stages, queues, retries and intermediate state storage.
  • Optimised the performance of backend services and the subscription migration pipeline.
  • Set up GitHub Actions CI/CD.
  • Mentored a junior backend developer, helping break down tasks and conducting code reviews.
Synapse GlobalBackend

Career Hub

A job platform within VK: vacancies, résumés, applications and notifications. SuperJob data integration and background processing with Celery.

My contribution

Built the backend and SuperJob integration, optimised queries and caching, and mentored a junior developer.

  • Django
  • DRF
  • PostgreSQL
  • VK API
More about my role
  • Designed and developed the Django backend and REST APIs for vacancies, résumés and applications.
  • Integrated SuperJob, including data exchange, entity mapping and error handling.
  • Built search filters and Celery background jobs. Optimised performance through ORM query improvements and Redis caching.
  • Mentored a junior backend developer and conducted code reviews.

03 / EXPERIENCE

Experience building and deploying systems.

Python development since 2021. Backend services, data processing platforms and AI infrastructure.

Jun 2026 — present

ivi

AI Engineer

Researching and introducing AI tools across the company. Developing and maintaining AI infrastructure: agent tools, context management, instructions and task orchestration.

May 2025 — Jun 2026

Genotek

AI / Backend Developer

Built AI development infrastructure and deployed 7 multi-agent systems using LangGraph and Langflow. Implemented medical data integrations and Argo CI pipelines. Mentored two students on the genealogical research system.

May 2023 — May 2025

Synapse Global

Backend Developer

Designed and developed Django services, external integrations and data processing pipelines. Built AI solutions for sales and support using LangGraph, RAG and Qdrant. Mentored a junior developer and conducted code reviews.

Nov 2021 — Dec 2023

Plekhanov University

Python Developer

Developed internal university services: a helpdesk system, Telegram bots and 1C integrations. Implemented tuition payments through the student portal.

EDUCATION

2026

NUST MISIS

Master’s · Information Systems and Technologies

2024

Plekhanov University

Bachelor’s · Applied Informatics

04 / CONTACT

Let’s discuss your project.

For AI systems, backend development and professional collaboration, contact me on Telegram or by email.